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FLDAS-Forecast

The Famine Early Warning Systems Network (FEWS NET) Land Data Assimilation System (FLDAS) Forecast model (FLDAS-Forecast, Hazra et al. 2023) is run over Africa and the Middle East and produces monthly forecasts at 0.25° spatial resolution out to 5 months over Africa and the Middle East (-20 to 60°E, -40 to 40°N). Forecasts are typically available by the 15th of the first forecast month. As a custom instance of the NASA Hydrological Forecast and Analysis System (NHyFAS, Arsenault et al. 2020), FLDAS-Forecast uses land surface models of Noah-MP (version 3.6) and NASA’s Catchment Model (CLSM, version 2.5), and HyMAP2 routing within the NASA Land Information System (LIS). Initial conditions for the FLDAS-Forecast model are generated by forcing the models with CHIRPS precipitation and MERRA-2 non-precipitation meteorological datasets. Two types of forecasts are generated: 1) North American Multi-Model Ensemble (NMME)-based forecasts using NMME precipitation and GEOS version 2 non-precipitation meteorological forecasts and 2) ensemble streamflow prediction method-based forecasts using CHIRPS and MERRA-2 meteorological datasets. FLDAS-Forecast hindcast and retrospective model outputs are available from 1982 to present by request. All indices (e.g., anomalies, percentiles, terciles) are calculated relative to January 1, 1991-December 31, 2020 hindcast climatology, with the exception of streamflow percentiles and terciles. Streamflow percentiles and terciles are calculated relative to January 1, 1991-December 31, 2020 retrospective model output. Please refer to the FLDAS Model Specification webpage for additional details on the FLDAS-Forecast system.

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Disclaimer:  The below figures and forecast information are provisionally provided as experimental, and these products are for reference only and at user-own discretion and risk.

Displaying Items 11 - 20 of 38

Root Zone Soil Moisture: Southern Africa
Forecast for Root Zone Soil Moisture: Southern AfricaForecast for Root Zone Soil Moisture: Southern AfricaForecast for Root Zone Soil Moisture: Southern Africa

Click on above figure for larger image.

Monthly Root Zone Soil Moisture Percentile (upper left), Anomaly (upper right), and Standardized Anomaly (lower left) Forecasts

Variable:
Root Zone Soil Moisture
Probabilistic Forecasts For Root Zone Soil Moisture: Southern Africa
Forecast for Probabilistic Forecasts For Root Zone Soil Moisture: Southern AfricaForecast for Probabilistic Forecasts For Root Zone Soil Moisture: Southern Africa

Click on above figure for larger image.

Monthly Root Zone Soil Moisture Forecast Probabilities for ESP (left) and NMME (right).

The likelihood of departure from normal maps above are based on hydrologic forecast ensembles comprised of 36 members (1982-2017) for ESP and all members for NMME. These maps indicate the forecast probability (in %) of the given hydrologic variable (e.g. root zone soil moisture) being in 'Above Normal' (>67 percentile), 'Normal' (between 33 to 67 percentile) and 'Below Normal' (<33 percentile).

Variable:
Root Zone Soil Moisture
3-Month Aggregate Root Zone Soil Moisture: Southern Africa
Forecast for 3-Month Aggregate Root Zone Soil Moisture: Southern AfricaForecast for 3-Month Aggregate Root Zone Soil Moisture: Southern AfricaForecast for 3-Month Aggregate Root Zone Soil Moisture: Southern Africa

Click on above figure for larger image.

3-Month Aggregate Root Zone Soil Moisture Percentile (upper left), Anomaly (upper right), and Standardized Anomaly (lower left) Forecasts

Variable:
Root Zone Soil Moisture
Soil Percent Saturation : Southern Africa
Forecast for Soil Percent Saturation : Southern AfricaForecast for Soil Percent Saturation : Southern Africa

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Monthly Root Zone Soil (left) and Surface Soil (right) Percent Saturation Forecasts.

Percent saturation is calculated as 100*(volumetric soil moisture)/(volumetric soil porosity).

Variable:
Soil Percent Saturation
Surface Soil Moisture: Southern Africa
Forecast for Surface Soil Moisture: Southern AfricaForecast for Surface Soil Moisture: Southern AfricaForecast for Surface Soil Moisture: Southern Africa

Click on above figure for larger image.

Monthly Surface Soil Moisture Percentile (upper left), Anomaly (upper right), and Standardized Anomaly (lower left) Forecasts

Variable:
Surface Soil Moisture
3-Month Aggregate Surface Soil Moisture: Southern Africa
Forecast for 3-Month Aggregate Surface Soil Moisture: Southern AfricaForecast for 3-Month Aggregate Surface Soil Moisture: Southern AfricaForecast for 3-Month Aggregate Surface Soil Moisture: Southern Africa

Click on above figure for larger image.

3-Month Aggregate Surface Soil Moisture Percentile (upper left), Anomaly (upper right), and Standardized Anomaly (lower left) Forecasts

Variable:
Surface Soil Moisture
Water Stress: Southern Africa
Forecast for Water Stress: Southern AfricaForecast for Water Stress: Southern Africa

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Water Stress (left) and Change in Water Stress (right) Forecasts

Variable:
Water Stress
Streamflow: Western Africa
Forecast for Streamflow: Western AfricaForecast for Streamflow: Western AfricaForecast for Streamflow: Western AfricaForecast for Streamflow: Western Africa

Click on above figure for larger image.

Monthly Streamflow Percentile (upper left), Anomaly (upper right), Standardized anomaly (lower left) and Probability tercile (lower right) Forecasts.

Variable:
Streamflow
Root Zone Soil Moisture: Western Africa
Forecast for Root Zone Soil Moisture: Western AfricaForecast for Root Zone Soil Moisture: Western AfricaForecast for Root Zone Soil Moisture: Western Africa

Click on above figure for larger image.

Monthly Root Zone Soil Moisture Percentile (upper left), Anomaly (upper right), and Standardized Anomaly (lower left) Forecasts

Variable:
Root Zone Soil Moisture
Probabilistic Forecasts For Root Zone Soil Moisture: Western Africa
Forecast for Probabilistic Forecasts For Root Zone Soil Moisture: Western AfricaForecast for Probabilistic Forecasts For Root Zone Soil Moisture: Western Africa

Click on above figure for larger image.

Monthly Root Zone Soil Moisture Forecast Probabilities for ESP (left) and NMME (right).

The likelihood of departure from normal maps above are based on hydrologic forecast ensembles comprised of 36 members (1982-2017) for ESP and all members for NMME. These maps indicate the forecast probability (in %) of the given hydrologic variable (e.g. root zone soil moisture) being in 'Above Normal' (>67 percentile), 'Normal' (between 33 to 67 percentile) and 'Below Normal' (<33 percentile).

Variable:
Root Zone Soil Moisture

Contact: Abheera Hazra (UMD/ESSIC; NASA/GSFC), Kristi Arsenault (SAIC; NASA/GSFC) or S. Shukla (UCSB) for more information.

References

  • Arsenault, K.R., and Coauthors, 2020: The NASA hydrological forecast system for food and water security applications. Bull. Amer. Meteor. Soc., 101, E1007–E1025, https://doi.org/10.1175/BAMS-D-18-0264.1.
  • Shukla, S., and Coauthors, 2020: Improving early warning of drought-driven food insecurity in southern Africa using operational hydrological monitoring and forecasting products. Nat. Hazards Earth Syst. Sci., 20, 1187-1201, https://doi.org/10.5194/nhess-20-1187-2020

Original project details: The original project, Forecasting for Africa and the Middle East (FAME), was funded by the NASA Applied Sciences Program and included partners from NASA, USAID, USGS, UCSB, Johns Hopkins University, ICBA, and DoD/ERDC.  Details of the original project can be found here.